6 resultados para ALAS SUPERLATTICES

em Deakin Research Online - Australia


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The focus of this paper is the development of a model for the effective management of repatriation in multinational enterprises (MNEs). It reviews the literature associated with the relationships between repatriate support practices in relation to repatriation experiences, organisational commitment, turnover intentions, and perceptions of career success. A model has been developed where it is hypothesized that the perception of the provision of important and higher quality practices will result in positive repatriation experiences A positive experience will be positively related to organisational commitment, and perceptions of career success, and negatively related to turnover intentions. These relationships are based on the concepts of social support, uncertainty reduction theory, and psychological contract theory.

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This paper reviews the literature on women participation in international assignments. Despite decades of equal opportunity legislation, and a focus on diversity issues by multinational enterprises, women's participation still remains low. Over the past 20 years women's participation has increased, however organisations still need to focus on many issues to increase this participation over the next 10 -15 years. Reasons were put forward in the paper that explains their participation. The paper covers macro, organisational, interpersonal and individual factors. These reasons were explored in the paper, and a model was developed that explains women's participation. Future research in the field was also proposed.

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The use of commodity, currency and stock index futures to hedge risky exposures in the underlying assets is well documented in financial literature. However single stock futures are a relatively new addition to the family of futures and as such, academic research on its use as a hedging tool is relatively thin. In this study we have explored the efficacy of two different methodological approaches that may be applied when hedging a long position in the underlying stock with a single stock future. We use daily trading data covering years 2002 to 2007 from the Indian market, where single stock futures have been really thriving in terms of volume of trade, to extract the optimal hedge ratios using both static OLS as well as 30-day, 60-day and 90-day moving least squares. The method of moving least squares has been in use by market practitioners for some time primarily as a trend analysis and charting tool. Our results indicate that the moving least squares approach outperforms the static OLS in terms of the hedging efficiency, which has been measured by the root mean square hedging error.

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In the last week Papua New Guinea (PNG) has received more exposure in the Australian media than it has for a very long time indeed. Ever since news of the ‘Regional Resettlement Arrangement Between Australia and Papua New Guinea’ agreement between Prime Ministers Rudd and O’Neill appeared on 19 July, discussion and criticism of the so-called ‘PNG Solution’ has been widespread on the internet, on television, radio, and even in the few newspapers still being published. Media outlets which negligently had let their regional coverage slip away – preferring to invest their remaining funds into reportage of last night’s Masterchef – are now scrambling to find copy from anyone with either opinions on the subject, but little knowledge, or some direct knowledge of PNG, alas in short supply.

The avalanche of reporting and commentary has masked the complexity of the issues involved here. On the one hand, we have Australia’s response to boat-borne visa-less immigrants: there is a whole universe of pain tied up in this, as any quick glance at the commentary will demonstrate. On the other, there is Australia and its place in the world and in the region: are we embarrassed to be Australians, or proud to be Aussies who ‘grew here’? And within the region, there is Papua New Guinea.

What can one learn from the reporting of PNG so far in 2013?

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Controllable 3D assembly of multicomponent inorganic nanomaterials by precisely positioning two or more types of nanoparticles to modulate their interactions and achieve multifunctionality remains a major challenge. The diverse chemical and structural features of biomolecules can generate the compositionally specific organic/inorganic interactions needed to create such assemblies. Toward this aim, we studied the materials-specific binding of peptides selected based upon affinity for Ag (AgBP1 and AgBP2) and Au (AuBP1 and AuBP2) surfaces, combining experimental binding measurements, advanced molecular simulation, and nanomaterial synthesis. This reveals, for the first time, different modes of binding on the chemically similar Au and Ag surfaces. Molecular simulations showed flatter configurations on Au and a greater variety of 3D adsorbed conformations on Ag, reflecting primarily enthalpically driven binding on Au and entropically driven binding on Ag. This may arise from differences in the interfacial solvent structure. On Au, direct interaction of peptide residues with the metal surface is dominant, while on Ag, solvent-mediated interactions are more important. Experimentally, AgBP1 is found to be selective for Ag over Au, while the other sequences have strong and comparable affinities for both surfaces, despite differences in binding modes. Finally, we show for the first time the impact of these differences on peptide mediated synthesis of nanoparticles, leading to significant variation in particle morphology, size, and aggregation state. Because the degree of contact with the metal surface affects the peptide's ability to cap the nanoparticles and thereby control growth and aggregation, the peptides with the least direct contact (AgBP1 and AgBP2 on Ag) produced relatively polydispersed and aggregated nanoparticles. Overall, we show that thermodynamically different binding modes at metallic interfaces can enable selective binding on very similar inorganic surfaces and can provide control over nanoparticle nucleation and growth. This supports the promise of bionanocombinatoric approaches that rely upon materials recognition.